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Article type: Research Article
Authors: Thomas, Kelsey R.a; b | Edmonds, Emily C.a; b | Eppig, Joelc | Salmon, David P.d | Bondi, Mark W.a; b; * | Alzheimer’s Disease Neuroimaging Initiative1
Affiliations: [a] Veteran Affairs San Diego Healthcare System, San Diego, CA, USA | [b] Department of Psychiatry, University of California, San Diego, School of Medicine, La Jolla, CA, USA | [c] San Diego State University/University of California, San Diego (SDSU/UCSD) Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA | [d] Department of Neurosciences, University of California San Diego, School of Medicine, La Jolla, CA, USA
Correspondence: [*] Correspondence to: Mark W. Bondi, PhD, VA San Diego Healthcare System, 3350 La Jolla Village Drive (116B), San Diego, CA 92161, USA. Tel.: +1 858 552 8585/Ext. 2809; Fax: +1 858 642 1218; E-mail: mbondi@ucsd.edu.
Note: [1] Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.
Abstract: Background:We previously operationally-defined subtle cognitive decline (SCD) in preclinical Alzheimer’s disease (AD) using total scores on neuropsychological (NP) tests. NP process scores (i.e., provide information about how a total NP score was achieved) may be a useful tool for identifying early cognitive inefficiencies prior to objective impairment seen in mild cognitive impairment (MCI) and dementia. Objective:We aimed to integrate process scores into the SCD definition to identify stages of SCD and improve early detection of those at risk for decline. Methods:Cognitively “normal” participants from the Alzheimer’s Disease Neuroimaging Initiative were classified as “early” SCD (E-SCD; >1 SD below norm-adjusted mean on 2 process scores or on 1 process score plus 1 NP total score), “late” SCD (L-SCD; existing SCD criteria of >1 SD below norm-adjusted mean on 2 NP total scores in different domains), or “no SCD” (NC). Process scores considered in the SCD criteria were word-list intrusion errors, retroactive interference, and learning slope. Cerebrospinal fluid AD biomarkers were used to examine pathologic burden across groups. Results:E-SCD and L-SCD progressed to MCI 2.5–3.4 times faster than the NC group. Survival curves for E-SCD and L-SCD converged at 7-8 years after baseline. The combined (E-SCD+L-SCD) group had improved sensitivity to detect progression to MCI relative to L-SCD only. AD biomarker positivity increased across NC, SCD, and MCI groups. Conclusions: Process scores can be integrated into the SCD criteria to allow for increased sensitivity and earlier identification of cognitively normal older adults at risk for decline prior to frank impairment on NP total scores.
Keywords: Alzheimer’s disease, dementia, early detection, mild cognitive impairment, neuropsychology, subtle cognitive decline
DOI: 10.3233/JAD-180229
Journal: Journal of Alzheimer's Disease, vol. 64, no. 1, pp. 195-204, 2018
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